Application of the extended Kalman filter in current sensors fault-tolerant control of the induction motor drive

Information about the actual current signal is essential in all modern control structures of induction motor (IM) drives. Unfortunately, stator current sensors (CSs) are prone to failure. Therefore, in this paper, fault-tolerant control (FTC) against current sensor faults for an IM drive is proposed. The detection and compensation of CS faults is based on the extended Kalman filter (EKF). To increase the current estimation performance, the state vector is expanded by the coefficient of change of both resistances of the IM. Simulation studies demonstrate the effectiveness of the proposed approach for different types of CS faults, such as gain change, offset, saturation, or complete signal loss, and under different operating conditions of the IM drive, including regenerative braking. The short detection time and high quality of stator current reconstruction in a wide range of speed and load torque make the presented solution universal for any IM drive with increased safety requirements.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/pemc61721.2024.10726418
Primary Topic
Electric Power Systems and Control
Type
article
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article

Application of the extended Kalman filter in current sensors fault-tolerant control of the induction motor drive

Teresa Orłowska-Kowalska, Michał Adamczyk, Magdalena Miniach
Electric Power Systems and Control
article

Application of the extended Kalman filter in current sensors fault-tolerant control of the induction motor drive

Teresa Orłowska-Kowalska, Michał Adamczyk, Magdalena Miniach
article en

Abstract

Information about the actual current signal is essential in all modern control structures of induction motor (IM) drives. Unfortunately, stator current sensors (CSs) are prone to failure. Therefore, in this paper, fault-tolerant control (FTC) against current sensor faults for an IM drive is proposed. The detection and compensation of CS faults is based on the extended Kalman filter (EKF). To increase the current estimation performance, the state vector is expanded by the coefficient of change of both resistances of the IM. Simulation studies demonstrate the effectiveness of the proposed approach for different types of CS faults, such as gain change, offset, saturation, or complete signal loss, and under different operating conditions of the IM drive, including regenerative braking. The short detection time and high quality of stator current reconstruction in a wide range of speed and load torque make the presented solution universal for any IM drive with increased safety requirements.

Wrocław University of Science and Technology (PL), AGH University of Krakow (PL)
Affordable and clean energy
Openalex Percentile: Top 83%
Electric Power Systems and Control
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